6 of 47 articles — browse by tag or search to filter.
A complete derivation of backpropagation for MLPs — from chain rule intuition to delta propagation, with a worked numerical example showing exactly how errors flow backward through a network.
A narrative-first walkthrough of reinforcement learning, starting with everyday intuition and ending with the math behind Q-learning and DQN.
A structured articulation and pacing warm-up designed to help technologists speak with clarity and confidence in high-stakes meetings.
A high level view on how modern vision-language models connect pixels and prose, from CLIP and BLIP to Flamingo, MiniGPT-4, Kosmos, and Gemini.
From naive vector search to industry-standard multimodal RAG. Master hybrid search, query rewriting, cross-encoder reranking, and the architecture of high-precision retrieval systems.
A deep dive into the physics and probability of diffusion models. Learn how reversing a stochastic process became the foundation for modern generative AI, from Stable Diffusion to robotics and protein design.